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This skill runs the ScholarEval framework to score academic submissions across problem setting, methodology, data, analysis, writing, and references, providing structured strengths/weaknesses, numeric ratings, and guidance for visualizing the evaluation.

Vaex is a high-performance Python library designed for processing and visualizing enormous tabular datasets that exceed available RAM (gigabytes to terabytes). It excels at out-of-core DataFrame operations, lazy evaluation, fast statistical aggregation, and machine learning integration on massive datasets. Use it for analyzing large CSV, Parquet, or HDF5 files efficiently on a single machine, without memory constraints.